| dc.description.abstract |
Building envelope shape plays a crucial role in determining the building energy performance, by regulating its solar exposure and the incident solar radiation. However, there are limited solar morphing tools that allow the generation of static building envelope based on solar principles. Besides solar potential, additional building shape performance indicators need to be considered, such as space efficiency and shape coefficient. Therefore, the present study proposes the ‘Geo-solar segmentation’ morphing method that would help architects generate a range of optimal solar building shapes in the early design-stage, under different climate conditions. Accordingly, based on the top-bottom biomimetic approach, the solar-induced rock cracking mechanism is adopted as an architectural design concept. It is then, transcribed into a solar design generation and optimisation algorithms using visual programming on Grasshopperְ in Rhinoceros. Octopus, an evolutionary solver is used to perform the multi-objective genetic algorithm optimisation. A comparative study is conducted between optimal solar segmented building envelopes and corresponding rectangular-based ones. The results demonstrate that under hot climate, optimally segmented building envelopes are 44.90 % more effective at solar protection than rectangular-based ones, and allow a trade-off between solar protection and collection under temperate climates. Moreover, the method helps reduce the shape coefficient by at least 10.30% for any climatic location, while ensuring a minimum space efficiency of 95%. The suggested method can be used as an early design-stage tool to enhance static envelope energy performance. |
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